ShinyProxy is 100% open-source software to deploy data science apps in an enterprise context. This talk will - for the first time - introduce ShinyProxy to the Python community. We'll start with a realistic example to explore what it takes to deploy a data science app for production use. Throughout the talk, you'll see how ShinyProxy addresses many of the common challenges faced when deploying apps.
These include authentication, scaling, security (such as TLS), audit logging, version control, reproducibility, and more. The main goal of ShinyProxy is to ensure data scientists can focus on doing science instead of spending time on technical requirements, procedures and maintenance. This talk is tailored for both data scientists and anyone interested in setting up ShinyProxy. No deep technical knowledge is required to follow along. At the end of the talk, you'll know everything to get started with ShinyProxy and to deploy your first app.